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| 1 | A novel fault tolerant permanent magnet synchronous motor with improved optimal torque control for aerospace application显示文摘Improving fault tolerant performance of permanent magnet synchronous motor has always been the central issue of the electrically supplied actuator for aerospace application. In this paper, a novel fault tolerant permanent magnet synchronous motor is proposed, which is characterized by two stators and two rotors on the same shaft with a circumferential displacement of mechanical angle of 4.5. It helps to reduce the cogging torque. Each segment of the stator and the rotor can be considered as an 8-pole/10-slot five-phase permanent magnet synchronous motor with concentrated, single-layer and alternate teeth wound winding, which enhance the fault isolation capacity of the motor. Furthermore, the motor has high phase inductance to restrain the short-circuit current. In addition, an improved optimal torque control strategy is proposed to make the motor work well under the open-circuit fault and short-circuit fault conditions. Simulation and experiment results show that the proposed fault tolerant motor system has excellent fault tolerant capacity, which is able to operate continuously under the third open-circuit fault and second shortcircuit fault condition without system performance degradation, which was not available earlier. | Guo Hong Xu Jinquan Kuang Xiaolin | 2015 | Chinese Journal of Aeronautics2015，28，2： | 16 |
| 2 | Sandwich-structured nanocomposites of N-doped graphene and nearly monodisperse Fe304 nanoparticles as high-performance Li-ion battery anodes显示文摘Iron oxides have attracted considerable interest as abundant materials forhigh-capacity Li-ion battery anodes. However, their fast capacity fading owingto poorly controlled reversibility of the conversion reactions greatly hinderstheir application. Here, a sandwich-structured nanocomposite of N-dopedgraphene and nearly monodisperse Fe304 nanoparticles were developed ashigh-performance Li-ion battery anode. N-doped graphene serves as a conductingframework for the self-assembled structure and controls Fe304 nucleationthrough the interaction of N dopants, surfactant molecules, and iron precursors.Fe304 nanoparticles were well dispersed with a uniform diameter of -15 nm.The unique sandwich structure enables good electron conductivity and Li-ionaccessibility and accommodates a large volume change. Hence, it delivers goodcycling reversibility and rate performance with a capacity of -1,227 m·h·g^-1and 96.8% capacity retention over 1,000 cycles at a current density of 3 A-g-1.Our work provides an ideal structure design for conversion anodes or otherelectrode materials requiring a large volume change. | Wen Qi Xuan Li Hui Li Weikang Wu Pei Li Ying Wu Chunjiang Kuang Shaoxiong Zhou Xiaolin Li | 2017 | Nano Research2017，10，9： | 2 |
| 3 | Research on a six-phase permanent magnet synchronous motor system at dual-redundant and fault tolerant modes in aviation application显示文摘With the development of more/all electrical aircraft technology, an electro-mechanical actuator(EMA) is more and more used in an aircraft actuation system. The motor system, as the crucial part of an EMA, usually adopts the redundancy technology or fault tolerance technology to improve the reliability. To compare the performances of these two motor systems, a 10-pole/12-slot six-phase permanent magnet synchronous motor(PMSM) is designed with the concentrated single-layer winding, which is able to operate at dual-redundant and fault tolerant modes.Furthermore, the position servo performances of the six-phase PMSM at dual-redundant and fault tolerant modes are analyzed, including the normal and fault conditions. In addition, a variable structure proportional-integral-derivative(PID) control strategy is proposed to solve the performance degradation problem caused by phase current saturation. Simulation and experimental results show that the fault tolerant PMSM has a better position servo performance than the dual-redundant PMSM, and the variable structure PID control strategy is able to improve the performance due to phase current saturation. | Xiaolin KUANG Hong GUO Jinquan XU Tong ZHOU | 2017 | Chinese Journal of Aeronautics2017，30，4： | 1 |
| 4 | Blasting Technology Research in Construction of Fenghuoshan Tunnel in Permafrost显示文摘The Fenghuoshan Tunnel is an important project in Qinghai-Tibet Railway. How to protect permafrost during tunnelling is one of key technology. There are two kinds of influences on permafrost because of the blasting construction, firstly, blasting results in the damage of the surrounding rock, producing cranny in surrounding rock or making existing cranny spreading even connecting, secondly, the explosion produces gas with high temperature and high pressure, tremendous heat energy influences the heat balance of permafrost. To minimize the effect on permafrost during explosion construction, this paper has done research for relevant explosion scheme based on the theoretic analysis and spot tests. Pre-crack explosion is adopted on the hollow segment, and smooth explosion is adopted on the tunnel body segment, whole section excavation is adopted on the tunnel body segment with grade Ⅳ surrounding rock, and the face steps excavation is adopted on the tunnel body segment with grade Ⅴ surrounding rock. Explosion parameters were optimised finally. The maximal explosion vibration velocity in the surrounding rock is controlled in 5~10 cm/s. To solve the heat disturbance problem, brine mud is adopted to block up explosion holes in order to coll and dustproof. The research result indicated the explosion gaseous cool effect when the brine mud medium as adopted reached 70% compared to 55% when the water mud medium was adopted, so the gaseous cool effect was very distinct. | Tan Zhongsheng Kuang Chengming Yang Xiaolin Wang Mengshu | 2006 | 工程科学(英文版)2006，4，2： | 0 |
| 5 | Federated unsupervised representation learning显示文摘To leverage the enormous amount of unlabeled data on distributed edge devices,we formulate a new problem in federated learning called federated unsupervised representation learning(FURL)to learn a common representation model without supervision while preserving data privacy.FURL poses two new challenges:(1)data distribution shift(non-independent and identically distributed,non-IID)among clients would make local models focus on different categories,leading to the inconsistency of representation spaces;(2)without unified information among the clients in FURL,the representations across clients would be misaligned.To address these challenges,we propose the federated contrastive averaging with dictionary and alignment(FedCA)algorithm.FedCA is composed of two key modules:a dictionary module to aggregate the representations of samples from each client which can be shared with all clients for consistency of representation space and an alignment module to align the representation of each client on a base model trained on public data.We adopt the contrastive approach for local model training.Through extensive experiments with three evaluation protocols in IID and non-IID settings,we demonstrate that FedCA outperforms all baselines with significant margins. | Fengda ZHANG Kun KUANG Long CHEN Zhaoyang YOU Tao SHEN Jun XIAO Yin ZHANG Chao WU Fei WU Yueting ZHUANG Xiaolin LI | 2023 | Frontiers of Information Technology & Electronic Engineering2023，24，8： | 0 |
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